Spss is used for regression analysis, adding control variables: In spss, if you want to control some irrelevant variables at the same time of correlation analysis, you can do partial correlation analysis. Select Analysis-Correlation-Partial Correlation from the menu. You can analyze related variables and control variables (or covariates) by selecting them into the corresponding boxes.

Put the dependent variable and the independent variable into the grid list, with the dependent variable above and the independent variable below. Set the regression method, and choose the simplest method here: enter, which means that all variables are included in the equation at one time. Other methods are gradual.

For grade data and continuous data, there is no need to set virtual variables. Virtual variables need to be set for multi-classification variables.

Select the appropriate regression analysis method.

It depends not only on the available SPSS menus, SPSS process commands or "recipes", but also on the specific content and method logic. For example, the problems that need to be investigated (assuming there are many types, such as difference comparison and association comparison). But it also depends on the definitions that need to be determined, such as the measurement level, distribution, transformation, correlation/irrelevance, modeling of main effects and interaction effects of data.